About this role
Overview
Models love a founder's story and can't tell a real market from a rounded-up one: a TAM built by multiplying optimism, traction metrics that don't cohort, a moat that's really just a feature. Someone has to separate the venture-scale bet from the nice small business, and that someone is you.
As a Venture Capitalist you'll evaluate AI-built startup diligence and market analysis, check the sizing and the signal, and write the judgments that teach models how early-stage bets are really made.
What you’ll actually do
- Evaluate AI startup diligence: the market, the team, the product, and whether the opportunity is venture-scale at all.
- Break down the market math: TAM built bottom-up, unit economics, and traction that actually cohorts.
- Write the investment memo when the model falls short, honest about the risk and the reason to fund anyway.
Roles this fits
Common backgrounds: Venture Capital Associate, Investment Analyst.
What we look for
- Experience in venture capital, startup operating roles, or early-stage investing.
- A feel for markets, product, and what separates a venture bet from a small business.
- Clear written English: your explanations are the training signal.
- No degree required. We care about what you can do, not where you learned it.
How it works
Compensation
Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
Apply now